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Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning.
Srinivasan, Gowri; Hyman, Jeffrey D; Osthus, David A; Moore, Bryan A; O'Malley, Daniel; Karra, Satish; Rougier, Esteban; Hagberg, Aric A; Hunter, Abigail; Viswanathan, Hari S.
Afiliação
  • Srinivasan G; Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA. gowri@lanl.gov.
  • Hyman JD; Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Osthus DA; Computer, Computational and Statistical Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Moore BA; Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • O'Malley D; Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Karra S; Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Rougier E; Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Hagberg AA; Theoretical Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Hunter A; X-Computational Physics Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
  • Viswanathan HS; Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, 87545, USA.
Sci Rep ; 8(1): 11665, 2018 Aug 03.
Article em En | MEDLINE | ID: mdl-30076388

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article